A double-slit experiment with human subjects

dc.citation.articleNumbere0246526
dc.citation.issueNumber2
dc.citation.journalTitlePLoS ONE
dc.citation.volumeNumber16
dc.contributor.authorDuffy, John
dc.contributor.authorLoch-Temzelides, Ted
dc.date.accessioned2021-03-12T21:00:06Z
dc.date.available2021-03-12T21:00:06Z
dc.date.issued2021
dc.description.abstractWe study a sequence of “double-slit” experiments designed to perform repeated measurements of an attribute in a large pool of subjects using Amazon’s Mechanical Turk. Our findings contrast the prescriptions of decision theory in novel and interesting ways. The response to an identical sequel measurement of the same attribute can be at significant variance with the initial measurement. Furthermore, the response to the sequel measurement depends on whether the initial measurement has taken place. In the absence of the initial measurement, the sequel measurement reveals additional variability, leading to a multimodal frequency distribution which is largely absent if the first measurement has taken place.
dc.identifier.citationDuffy, John and Loch-Temzelides, Ted. "A double-slit experiment with human subjects." <i>PLoS ONE,</i> 16, no. 2 (2021) Public Library of Science: https://doi.org/10.1371/journal.pone.0246526.
dc.identifier.digitaljournal-pone-0246526
dc.identifier.doihttps://doi.org/10.1371/journal.pone.0246526
dc.identifier.urihttps://hdl.handle.net/1911/110174
dc.language.isoeng
dc.publisherPublic Library of Science
dc.rightsThis is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleA double-slit experiment with human subjects
dc.typeJournal article
dc.type.dcmiText
dc.type.publicationpublisher version
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